Triple

T15788660
Position Surface form Disambiguated ID Type / Status
Subject Raymond Geuss E382804 entity
Predicate doctoralAdvisor P167 FINISHED
Object Robert Paul Wolff E436735 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Robert Paul Wolff | Statement: [Raymond Geuss, doctoralAdvisor, Robert Paul Wolff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Paul Wolff
Context triple: [Raymond Geuss, doctoralAdvisor, Robert Paul Wolff]
  • A. Emmon Frey
    Emmon Frey is a minor noble from the Frey family in the world of "A Song of Ice and Fire," known for his marriage into House Lannister and his brief tenure as Lord of Riverrun.
  • B. Axel Tully
    Axel Tully is the legendary progenitor of House Tully, the noble family of Riverrun in the world of A Song of Ice and Fire.
  • C. Justin Waldron
    Justin Waldron is an American entrepreneur best known as a co-founder of the social gaming company Zynga.
  • D. Peter K. Unger chosen
    Peter K. Unger is an American philosopher known for his influential work in epistemology, metaphysics, and ethics, including his defense of skepticism and his critiques of common-sense views.
  • E. Jeffrey Nahmias
    Jeffrey Nahmias is a television producer best known for his executive production work on the crime drama series "L.A.'s Finest."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.